prompt-injection-detector git:20260507.44b06c0A

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---
name: prompt-injection-detector
description: Prompt injection detection and prevention for secure LLM applications
allowed-tools:
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graph:
  domains: [domain:software-engineering]
  specializations: [specialization:ai-agents-conversational]
  skillAreas: [skill-area:hallucination-mitigation-fact-checking, skill-area:safety-redteaming]
  roles: [role:ml-engineer, role:backend-engineer]
  workflows: [workflow:feature-development, workflow:ml-model-lifecycle]

---

# Prompt Injection Detector Skill

## Capabilities

- Detect prompt injection attempts
- Implement input sanitization
- Configure detection classifiers
- Design defense layers
- Implement canary token detection
- Create injection logging and alerting

## Target Processes

- prompt-injection-defense
- tool-safety-validation

## Implementation Details

### Detection Methods

1. **Pattern Matching**: Known injection patterns
2. **ML Classifiers**: Trained injection detectors
3. **Canary Tokens**: Detect instruction override
4. **LLM-Based**: Use LLM to detect manipulation
5. **Perplexity Analysis**: Unusual input patterns

### Defense Strategies

- Input preprocessing
- Prompt structure design
- Output validation
- Sandboxed execution
- Multi-layer defense

### Configuration Options

- Detection threshold
- Pattern rules
- Classifier model
- Action policies
- Alerting settings

### Best Practices

- Defense in depth
- Regular pattern updates
- Monitor false positives
- Test with red-team inputs

### Dependencies

- rebuff (optional)
- transformers
- Custom classifiers